A Case Study for the Enhanced Performance Measurement Model in Mobile Business Environment

Ahyoung Kim, Junwoo Lee, Mucheol Kim
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Abstract

Due to drastic growth of mobile customers in recent days, mobile business has brought a paradigm shift and expanded its application areas with mass production of various mobile business fields. Consequently, diverse attempts are being made in order to analyze the mobile business for its successful performance. In this work, we propose performance metrics to measure the performance of mobile business and suggest the enhanced performance measurement model for analyzing the mobile business using proposed performance metrics. The performance metrics are categorized into two types, customer retention and product engagement, according to the characteristics of each mobile businesses. We automatically collected the raw data from mobile applications and the crawling data from mobile market in order to measure performance metrics of mobile business and statistically analyzed the two performance metrics above using big data processing system based on cloud environment. In this work, we suggest the enhanced performance measurement model in mobile business environment and present the results analyzed with the proposed model as case study. The proposed model should support efficient decision making in mobile business field such as mobile marketing and mobile commerce.
移动商务环境下增强型绩效评估模型的案例研究
近年来,由于移动用户的急剧增长,移动业务带来了范式的转变,各种移动业务领域的大量生产扩大了其应用领域。因此,为了分析移动业务的成功表现,正在进行各种尝试。在这项工作中,我们提出了绩效指标来衡量移动业务的绩效,并建议使用所建议的绩效指标来分析移动业务的增强型绩效衡量模型。根据每个移动业务的特点,绩效指标分为两类:客户留存率和产品参与度。为了衡量移动业务的绩效指标,我们自动收集了来自移动应用程序的原始数据和来自移动市场的爬行数据,并使用基于云环境的大数据处理系统对上述两个绩效指标进行了统计分析。在本研究中,我们提出了移动商务环境下的增强型绩效评估模型,并以该模型为案例分析结果。该模型应支持移动营销和移动商务等移动商务领域的高效决策。
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